999 resultados para Image Edition


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The present paper, based on the concept of surplus of vision discussed in some works of the bakhtinian Circle, as, mainly Bakhtin (2010a) and Bakhtin (2010b), has the main aim to analyse the image of evangelicals in a cover delivered by Veja magazine from the bakhtinian categories of exotopy, otherness and expressive intonation and, consequently, the meaning effects resulting from them. Therefore, anchored by the perspective of Bakhtinian Studies (BS), we analysed the magazine cover, seeking to apprehend the meanings constructed by this genre of verb-visual basis. To the constitution of the corpus of analysis, we selected the cover of the edition 1555, published on July, 15, 1998, entitled A fé contra o crime: Numa cruzada em presídios e redutos de traficantes, os evangélicos estão convertendo bandidos em soldados de Jesus, to analyse in which way the magazine, from its discursive place, appropriates the image of the evangelicals and represents it with its intonations in its statements. From the analysis, we can state that Veja constructs an image that tends to the homogenization of the evangelicals in Brazil, from its surplus of vision, with its tone of sarcasm, prejudice and vilification of this group, attempting to position the consumer/reader of Veja against the protestant sphere. The conclusion of this research, therefore, is that the exotopic position assumed by Veja with regard to its otherness, the evangelical discursive sphere, articulates axiologic aprehensions materialized in the form of intonation on the cover of the magazine that we analysed, disseminating, with the character of truth, the protestant group as integrant of mere dualities. Although the cover figures the group as an agent of change in society, this change gets the intonation by the magazine so that it seems false or, at least, incomplete, which equips the Veja readers of mistrust and, therefore, discredit to the actions of the discussed discursive sphere.

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Faces are complex patterns that often differ in only subtle ways. Face recognition algorithms have difficulty in coping with differences in lighting, cameras, pose, expression, etc. We propose a novel approach for facial recognition based on a new feature extraction method called fractal image-set encoding. This feature extraction method is a specialized fractal image coding technique that makes fractal codes more suitable for object and face recognition. A fractal code of a gray-scale image can be divided in two parts – geometrical parameters and luminance parameters. We show that fractal codes for an image are not unique and that we can change the set of fractal parameters without significant change in the quality of the reconstructed image. Fractal image-set coding keeps geometrical parameters the same for all images in the database. Differences between images are captured in the non-geometrical or luminance parameters – which are faster to compute. Results on a subset of the XM2VTS database are presented.